Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
Ofrecido Por
Matrix Methods
Universidad de MinnesotaAcerca de este Curso
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Programa - Qué aprenderás en este curso
Matrices as Mathematical Objects
Matrix Multiplication and other Operations
Systems of Linear Equations
Linear Least Squares
Reseñas
- 5 stars55,45 %
- 4 stars20 %
- 3 stars9,54 %
- 2 stars7,27 %
- 1 star7,72 %
Principales reseñas sobre MATRIX METHODS
This Course content is very good and has good real-time examples. However, the Instructor should add a few videos on SVD, Maximum dilation, and Shrinkage and Direction of Maximum Dilation.
Really its very informative and basic material provided. I enjoyed and learn a lot
Course is well designed and gives application knowledge of matrices and decomlosition of matrix by SVD method.
This has been a helpful course. I had the chance to learn about practical applications of matrices.
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